L0 norm-based three-dimensional grid denoising method

A three-dimensional grid and norm technology, applied in the field of image processing, can solve the problems of slow calculation speed and low processing efficiency, and achieve the effect of good applicability, enhanced denoising effect, and fast speed.

Inactive Publication Date: 2017-02-22
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

However, this algorithm also has problems such as slow calculation speed and low processing efficiency.

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  • L0 norm-based three-dimensional grid denoising method

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Embodiment Construction

[0031] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0032] Such as figure 1 As shown, this embodiment provides a L-based 0 The three-dimensional grid denoising method of norm, this method comprises the following steps:

[0033] 1) Obtain the edges and vertices of the 3D mesh through OpenMesh;

[0034] 2) According to the edge and the vertex of the three-dimensional grid obtained in step 1), the optimization target is set;

[0035] 3) According to the optimization objective, the Laplacian operator is introduced to optimize the 3D grid, and the denoised 3D grid is obtained.

[0036] The optimization objective in step 2) is specifical...

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Abstract

The invention relates to an L0 norm-based three-dimensional grid denoising method. The method comprises the following steps of obtaining edges and vertexes of a three-dimensional grid; setting an optimization goal according to the obtained edges and vertexes of the three-dimensional grid; and introducing a laplace operator for optimization of the three-dimensional grid according to the optimization goal to obtain the denoised three-dimensional grid. Compared with the prior art, the L0 norm-based three-dimensional grid denoising method has the advantages of being fast in calculation, high in efficiency, convenient to calculate, smooth to implement and the like.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an L-based 0 Norm's 3D Mesh Denoising Method. Background technique [0002] 3D mesh denoising is an important tool in graphics processing. Because the 3D model obtained by relying on the existing 3D scanning equipment or 3D reconstruction algorithm inevitably has a lot of noise. Therefore, no matter from the aesthetic point of view or for the convenience of subsequent graphics processing, it is necessary to denoise the 3D mesh. [0003] Previous denoising algorithms are isotropic, meaning that the filter is independent of the geometry of the surface. Laplacian [0004] Smoothing is a relatively basic smoothing algorithm, which can effectively filter out noise, but it cannot protect salient features, causing the mesh surface to shrink. From the perspective of signal processing, Taubin proposed a non-shrinking two-step filtering algorithm. However, this algor...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/002
Inventor 盛斌曹玮剑
Owner SHANGHAI JIAO TONG UNIV
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